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Course Outline
Introduction to Google Colab for Visualization
- Overview of Google Colab
- Configuration and setup of Google Colab
- Navigating the Google Colab user interface
Foundations of Data Visualization
- The significance of data visualization
- Introduction to Python visualization libraries
Fundamental Plotting with Matplotlib
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Constructing basic plots
- Line plots
- Bar charts
- Pie charts
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Customizing visual elements
- Titles, labels, and legends
- Colors, styles, and themes
Advanced Techniques with Matplotlib
- Managing subplots and multiple graphs
- Utilizing annotations
- Saving and exporting visual outputs
Introduction to Seaborn
- Overview of Seaborn
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Developing statistical plots
- Distribution plots
- Regression plots
- Categorical plots
Customizing Seaborn Visuals
- Aesthetics and thematic options
- Advanced customization techniques
- Integrating Seaborn with Matplotlib
Working with Real-world Datasets
- Importing data sets
- Data cleaning and preparation
- Visualizing complex data structures
Collaborative Visualization Initiatives
- Sharing and collaborating on notebooks
- Utilizing real-time collaboration features
- Best practices for team-based projects
Tips and Best Practices
- Effective data visualization methodologies
- Avoiding common visualization errors
- Improving visual appeal and clarity
Summary and Next Steps
Requirements
- Foundational understanding of Python programming
- Awareness of core data concepts
Target Audience
- Data scientists
- Data analysts and professionals
14 Hours
Testimonials (1)
workshops, practical examples